IUNI has over 165 faculty affiliates from across IU. You may browse through listings below – clicking on a name will expand to show you full listings. You may also search through keywords and biographies in the search bar below.
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|Beer, Randall||Cognitive Science Program, College of Arts and Science / IUB|
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|Maupome, Gerardo||Department of Cariology, Operative Dentistry and Dental Public Health, School of Dentistry / IUPUI|
Bio: Gerardo Maupomé is an oral health researcher with primary interests in dental health services research and oral epidemiology, oral treatment needs among patients at high risk of disease or subject to health and social disparities, and analysis of professional practices – including how dental professionals make therapeutic decisions. He has worked in the private sector and in academia for the past 25 years. He is a Professor with Indiana University School of Dentistry since 2005, and currently has various affiliations with academic organizations in the USA (including IUNI) and in the UK. Dr. Maupomé has been involved in various research projects – spanning from epidemiological studies assessing the impact of public health fluoridation, to clinical trials of chlorhexidine varnishes; from community demonstrations to promote healthier lifestyle decisions, to quantitative appraisals of factors contributing to poor oral health and failure to access dental services; and from qualitative investigations into social and economic determinants of health, to economic analyses of the costs implied in health conditions and associated therapeutic procedures. Some of these studies have been focused on American Indians, people of Mexican and Hispanic origin, those 65 years of age and older, children, and population groups with restricted access to dental services.
|Menczer, Filippo||Informatics and Computer Science, School of Informatics and Computing / IUB|
Bio: Filippo Menczer is a Professor of informatics and computer science, adjunct Professor of physics, and a member of the cognitive science program at Indiana University, Bloomington. He holds a Laurea in Physics from the University of Rome and a Ph.D. in Computer Science and Cognitive Science from the University of California, San Diego. Dr. Menczer has been the recipient of Fulbright, Rotary Foundation, and NATO fellowships, and a Career Award from the National Science Foundation. He currently serves as director of the Center for Complex Networks and Systems Research and is a Fellow of the Institute for Scientific Interchange Foundation in Torino, Italy, a Senior Research Fellow of The Kinsey Institute, and an ACM Distinguished Scientist. He previously served as division chair in the IUB School of Informatics and Computing, and was Fellow-at-large of the Santa Fe Institute. His research is supported by the NSF, DARPA, and the McDonnell Foundation. It focuses on Web science, social networks, social media, social computation, Web mining, distributed and intelligent Web applications, and modeling of complex information networks.
Disciplines: Computer Science
Keywords: Big data and networksCo-evolution of networks and behaviorCommunicationComputational Social SciencesCultural dynamicsData collectionDiffusionDynamical processesInformationInterventions on networksLongitudinaldynamic modelsNetwork structurePolitical networksScience of scienceSearch in networksSocial mediaSocial networks and healthSocio-technical systems
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|Perry, Brea||Sociology, College of Arts and Sciences / IUB|
Bio: Brea Perry is an Associate Professor of Sociology at Indiana University, and received a Ph.D. in Sociology from IU in 2008. Prior to returning to Indiana in 2014, she was an Associate Professor at the University of Kentucky, where she founded and directed the interdisciplinary Health, Society, and Populations Program. Her research and teaching interests include social networks, medical sociology, mental illness, biosociology, social genetics, and quantitative methodology. One line of research focuses on complex interactions between genotypes, social statuses, and social environmental conditions (GxExE) in substance use pathways. Dr. Perry also studies personal social network dynamics and processes that accompany progression through illness careers. Much of her work employs egocentric social network analysis and multilevel and longitudinal modeling. Dr. Perry’s research has been funded by the National Institutes of Health, the National Science Foundation, the Spencer Foundation, and the McManus Foundation. She is currently the series editor of Advances in Medical Sociology.
|Pullen, Erin L.||IU Network Science Institute / IUB|
Bio: Erin Pullen is an Assistant Research Scientist at the Indiana University Network Science Institute. She came to Indiana University in 2015 after completing her PhD at the University of Kentucky. Her primary research interests include egocentric networks, medical sociology, health disparities, and quantitative methodologies. Broadly, she is interested in how relationships between personal social networks, health behaviors, and health outcomes co-evolve over time, particularly in the context of disadvantage and inequality.
|Razo, Armando||Political Science, College of Arts and Sciences / IUB|
Bio: Professor Razo's research interests are in the field of comparative politics, with special interests in the political economy of development and comparative analysis of networks and institutions. His research and teaching center around two themes: (1) how political institutions in developing countries affect economic performance; and (2) the study of political institutions and political organization in nondemocratic settings. Current research projects include the development of an ontology and linguistic corpus for comparative analysis of networks in international development. He teaches courses on networks and institutions, quantitative contextual analysis, development, positive political economy, and Latin American politics. He is the author of Social Foundations of Limited Dictatorship, published by Stanford University Press in 2008, which advances a network theory of private policymaking. A student of economic history, he is also co-author with Stephen Haber and Noel Maurer of The Politics of Property Rights (2003).
Disciplines: Political Science
Keywords: Affiliation networksCo-evolution of networks and behaviorComputational Social SciencesCorporate networksData collectionEgocentric networksExponential random graph modelsGame theoryGraph theoryInter-organizational networksMathematical theoriesNetwork structureNetwork theoryPolicy networksPolitical networksTeaching networksText analysisTool development for networks
|Smith, Eliot||Psychological and Brain Sciences, College of Arts and Sciences / IUB|
Bio: Distinguished Professor of Psychological and Brain Sciences Eliot Smith has pioneered the development of multi-agent models of information spread in social networks that draw on social psychological studies of social influence to incorporate realistic assumptions about how and when people will accept (and further transmit) the information they receive from others (Mason et al., 2007). Smith’s empirical studies and multi-agent modeling have focused on the cognitive and behavioral processes that occur when people receive information from others that differs from their own prior beliefs — processes that determine whether they accept the information and change their beliefs, ignore the information, or seek out further evidence to attempt to reconcile the inconsistency (Collins et al., 2011; Smith and Collins, 2009). Another investigation examined in depth strategies for processing inconsistent information and determining its validity (Smith, 2014). The multi-agent model led to the conclusion that people can best avoid misinformation by comparing incoming information to their own existing beliefs, and discarding it if it is too discrepant. Alternative strategies that are prominent in the literature — such as accepting new information if it comes from multiple independent sources — were found not to be useful. This is partly because people are not usually in a good position to know the overall structure of the social network and therefore cannot tell whether multiple information sources are truly independent of each other. That is, person A may hear the same information from both B and C and assume they are independent, when in fact both B and C might have obtained the information from a common source D.
Disciplines: Psychological and Brain Sciences